Invited Speaker


Dr. Yiming Tang, Professor

Dr. Yiming Tang, Professor

Hefei University of Technology, China
Speech Title: The Universal Triple I Method for Fuzzy Inference and Fuzzy System

Abstract: Fuzzy inference plays a significant role in fuzzy control, artificial intelligence, affective computing, image processing, complex system and so on. The triple I method is one of the most reasonable fuzzy inference methods, which has been highly recognized at home and abroad. On the basis of triple I method with fully implicational inference idea, three identical implication operators were evolved into different implication operators. Then the triple I method is generalized to the differently implicational universal triple I method of (1, 2, 2) type (the universal triple I method for short) by Yiming Tang. First of all, we provide the relevant solutions of the universal triple I method. It is then found that the Compositional Rule of Inference (CRI) method is a special case of the universal triple I method. In addition, we analyze the response functions of fuzzy systems constructed by the universal triple I method, and it is observed that 190 fuzzy systems via the universal triple I method are practicable. Finally, the universal triple I method has been further developed. All in all, this report introduces current research achievements in the universal triple I method in the past 10 years, incorporating its source, theory, new development and its application in affective computing.


Biography: Yiming Tang is a Professor at Hefei University of Technology and also a Visiting Professor at University of Alberta, Edmonton, AB, Canada. He is a Deputy Head of Department of Intelligent Science and Technology at Hefei University of Technology. He has authored or coauthored more than 90 papers such as IEEE TPAMI, TCYB, TFS and TETCI, including 2 hot papers and 2 highly cited papers of ESI. His research interests include fuzzy inference, clustering, granular computing, image processing and affective computing. He serves as an Associate Editor of the Information Sciences, the IEEE Access and the Journal of Intelligent & Fuzzy Systems, an Academic Editor of the PLOS ONE and the Applied Computational Intelligence and Soft Computing, a Guest Editor of the Applied Sciences, the Symmetry and the Demonstratio Mathematica, a Senior Member of IEEE, a Senior Member of China Computer Federation (CCF), and also a Senior Member of Chinese Association for Artificial Intelligence (CAAI). He is a Deputy Director of Trusted Artificial Intelligence Committee of Anhui Artificial Intelligence Society, a Standing Committee of Artificial Intelligence Logic of CAAI, a Standing Committee of Non-classical Logic and Computing of Chinese Society of Logic, an Executive Committee of Cooperative Computing of CCF, a Professional Committee of Machine Learning of CAAI and a Professional Committee of Granular Computing and Knowledge Discovery of CAAI. He is a Publication Chair of the 9th International Conference on Fuzzy Systems and Data Mining (FSDM 2023) and the 3rd International Conference on Artificial Intelligence Logic and Applications (AILA 2023). He is a reviewer of more than 50 journals such as IEEE TPAMI, TFS, TSMC-S and TETCI. He serves as a Program Committee of more than 10 conferences (e.g., AAAI). He was awarded an IEEE Access Outstanding Associate Editor of 2021 and 2022.